Optimal Gray GM(1,1) Model Based on Genetic Algorithm and Its Verification
基于遗传算法优化的GM(1,1)模型及效果检验

Accelerating genetic algorithm (AGA) and least square method(LSM) were used to solving the parameters of gray GM(1,1) model for the modellings of stable data sequence and unstable deta sequence, respectively. It is shown that there is little difference of the precisions of model to solving parameters between AGA and LSM for stable data sequence, but the precision of fitting and forecasting of model to solving parameters based on AGA is much more than that of LSM for unstable data sequence.